Triple
T7206937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Incheon Subway |
E148687
|
entity |
| Predicate | hasConnectionStation |
P21403
|
FINISHED |
| Object |
Woninjae station
Woninjae station is a subway station in Incheon, South Korea, serving as an interchange between the Incheon Subway and other regional rail lines.
|
E661351
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Woninjae station | Statement: [Incheon Subway, hasConnectionStation, Woninjae station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woninjae station Context triple: [Incheon Subway, hasConnectionStation, Woninjae station]
-
A.
Yangjae Station
Yangjae Station is a major subway station in southern Seoul, South Korea, serving as an important transit hub on multiple lines within the city’s metro network.
-
B.
Sajik Station
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
C.
Sangmu Station
Sangmu Station is a subway station on the Gwangju Metro system in Gwangju, South Korea, serving the Sangmu district.
-
D.
Jonu Station
Jonu Station is a stop on the Pyongyang Metro system in North Korea, serving passengers on one of the capital’s main urban rail lines.
-
E.
Yeonsu Station
Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Woninjae station Triple: [Incheon Subway, hasConnectionStation, Woninjae station]
Generated description
Woninjae station is a subway station in Incheon, South Korea, serving as an interchange between the Incheon Subway and other regional rail lines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Woninjae station Target entity description: Woninjae station is a subway station in Incheon, South Korea, serving as an interchange between the Incheon Subway and other regional rail lines.
-
A.
Yangjae Station
Yangjae Station is a major subway station in southern Seoul, South Korea, serving as an important transit hub on multiple lines within the city’s metro network.
-
B.
Sajik Station
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
C.
Sangmu Station
Sangmu Station is a subway station on the Gwangju Metro system in Gwangju, South Korea, serving the Sangmu district.
-
D.
Jonu Station
Jonu Station is a stop on the Pyongyang Metro system in North Korea, serving passengers on one of the capital’s main urban rail lines.
-
E.
Yeonsu Station
Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6f04089408190aa20ed6767590ae1 |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810b4a2fc8190bd1dd7dd8cac28c7 |
completed | March 28, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c811e0ebec8190b394b1a2ff6ac5bf |
completed | March 28, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8127599188190af3d049a0c6dd349 |
completed | March 28, 2026, 5:40 p.m. |
Created at: March 27, 2026, 2:52 p.m.